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Explainable AI and the Future of In Silico Toxicology
Artificial intelligence is playing an increasing role in drug discovery, chemical research and toxicology. However, many machine learning models still work as “black boxes”, making their predictions difficult to interpret and sometimes difficult to use in industrial or regulatory contexts.
faizansahigara
6 days ago2 min read


When Do NAMs Become True Success Stories?
New Approach Methodologies, or NAMs, are increasingly seen as critical to phasing out animal testing. These non-animal methods have the potential to support more ethical and human-relevant science.
faizansahigara
Jun 163 min read
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